Aniruddha Adiga

ORCID: 0000-0002-5396-1978

Also affiliated with Biocom

Social SciencesDecision SciencesMathematicsMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 2%percentile

2.3Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The United States COVID-19 Forecast Hub dataset

Scientific Data(2022)10.1038/s41597-022-01517-w

Top 9%

2.3DataRank

Top 9%131 citations

Yuxin Huang, Yijin Wang, Evan L Ray, Matthew Cornell, Johannes Bracher +95 more

Papers

Driven by 30 papers — median percentile 91. Top paper: “The United States COVID-19 Forecast Hub dataset”.

The United States COVID-19 Forecast Hub dataset

Scientific Data(2022)10.1038/s41597-022-01517-w

Top 9%

2.3DataRank

Top 9%131 citations

Yuxin Huang, Yijin Wang, Evan L Ray, Matthew Cornell, Johannes Bracher +95 more

Data-Driven Modeling for Different Stages of Pandemic Response

Journal of the Indian Institute of Science(2020)10.1007/s41745-020-00206-0

N/A

0DataRank · unranked

1 citations

Jiangzhuo Chen, Madhav Marathe, Henning Mortveit, Srinivasan Venkatramanan, Anil Vullikanti +1 more

Evaluating the impact of international airline suspensions on the early global spread of COVID-19

medRxiv(2020)10.1101/2020.02.20.20025882

N/A

0DataRank · unranked

47 citations

Srinivasan Venkatramanan, James Schlitt, Akhil Sai Peddireddy, Allan Dickerman, Andrei C. Bura +24 more

Using Mobility Data to Understand and Forecast COVID19 Dynamics

medRxiv(2020)10.1101/2020.12.13.20248129

N/A

0DataRank · unranked

25 citations

Xue Ben, Aniruddha Adiga, Adam Sadilek, Ashish V. Tendulkar, Srinivasan Venkatramanan +10 more

Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting

(2020)10.1109/bigdata50022.2020.9377904

N/A

0DataRank · unranked

24 citations

Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan Lewis, Madhav Marathe +1 more

Interplay of global multi-scale human mobility, social distancing, government interventions, and COVID-19 dynamics

medRxiv(2020)10.1101/2020.06.05.20123760

N/A

0DataRank · unranked

20 citations

Lijing Wang, Adam Sadilek, Ashish V. Tendulkar, Srinivasan Venkatramanan, Anil Vullikanti +9 more

Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting

arXiv (Cornell University)(2020)10.48550/arxiv.2010.14491

N/A

0DataRank · unranked

6 citations

Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan Lewis, Madhav Marathe +1 more

All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting

(2021)10.1145/3447548.3467197

N/A

0DataRank · unranked

30 citations

Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan +3 more

All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting

medRxiv(2021)10.1101/2021.03.12.21253495

N/A

0DataRank · unranked

19 citations

Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan +3 more

Evaluating the utility of high-resolution proximity metrics in predicting the spread of COVID-19

medRxiv(2021)10.1101/2021.06.07.21258492

N/A

0DataRank · unranked

0 citations

Aniruddha Adiga, Madhav Marathe, Srinivasan Venkatramanan, Samarth Swarup, Zakaria Mehrab

Informing University Covid-19 Decisions Using Simple Compartmental Models

medRxiv(2021)10.1101/2021.07.01.21259851

N/A

0DataRank · unranked

0 citations

Aniruddha Adiga, Madhav Marathe, Christopher L. Barrett, Benjamin Hurt

Informing University Covid-19 Decisions Using Simple Compartmental Models

2021 Winter Simulation Conference (WSC)(2021)10.1109/wsc52266.2021.9715467

N/A

0DataRank · unranked

0 citations

Aniruddha Adiga, Madhav Marathe, Christopher L. Barrett, Benjamin Hurt

Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination

eLife(2022)10.7554/elife.73584

N/A

0DataRank · unranked

40 citations

Claire P. Smith, Michelle Qin, Luke C. Mullany, Rebecca K. Borchering, Justin Lessler +55 more

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support

The International Journal of High Performance Computing Applications(2022)10.1177/10943420221127034

N/A

0DataRank · unranked

21 citations

Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan Lewis, Srinivasan Venkatramanan +18 more

Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19

ACM Transactions on Spatial Algorithms and Systems(2022)10.1145/3531006

N/A

0DataRank · unranked

9 citations

Aniruddha Adiga, Madhav Marathe, Srinivasan Venkatramanan, Samarth Swarup, Zakaria Mehrab

CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting

Proceedings of the AAAI Conference on Artificial Intelligence(2022)10.1609/aaai.v36i11.21479

N/A

0DataRank · unranked

105 citations

Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav Marathe +1 more

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

eLife(2023)10.7554/elife.81916

N/A

0DataRank · unranked

104 citations

Hugo Gruson, Rok Grah, Helen Johnson, Rene Niehus, Bastian Prasse +95 more

Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty

Nature Communications(2023)10.1038/s41467-023-42680-x

N/A

0DataRank · unranked

61 citations

Lucie Contamin, Luke C. Mullany, Michelle Qin, Nicholas G. Reich, Samantha J. Bents +78 more

Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions

Proceedings of the National Academy of Sciences(2023)10.1073/pnas.2305227120

N/A

0DataRank · unranked

14 citations

Aniruddha Adiga, Srinivasan Venkatramanan, Andrew Warren, Jiangzhuo Chen, Bryan Lewis +13 more

Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts

Proceedings of the AAAI Conference on Artificial Intelligence(2023)10.1609/aaai.v37i13.26855

N/A

0DataRank · unranked

9 citations

Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw Porebski, Srinivasan Venkatramanan +3 more

Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations

medRxiv(2023)10.1101/2023.12.08.23299726

N/A

0DataRank · unranked

7 citations

Alexander E. Webber, Tomás M. León, Erin L. Murray, Monica Sun, Lauren A. White +95 more

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

Nature Communications(2024)10.1038/s41467-024-50601-9

N/A

0DataRank · unranked

57 citations

Alexander E. Webber, Tomás M. León, Erin L. Murray, Monica Sun, Lauren A. White +95 more

Challenges of COVID-19 Case Forecasting in the US, 2020–2021

PLoS Computational Biology(2024)10.1371/journal.pcbi.1011200

N/A

0DataRank · unranked

33 citations

Estee Y. Cramer, Roberto Pagano, John M. Drake, Eamon B. O’Dea, Madeline Adee +95 more

Wastewater-based epidemiology for COVID-19 surveillance and beyond: A survey

Epidemics(2024)10.1016/j.epidem.2024.100793

N/A

0DataRank · unranked

33 citations

Yunfan Wang, Gursharn Kaur, Aniruddha Adiga, Baltazar Espinoza, Srinivasan Venkatramanan +8 more

Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub

PLoS Medicine(2024)10.1371/journal.pmed.1004387

N/A

0DataRank · unranked

15 citations

Sara L. Loo, Emily Howerton, Lucie Contamin, Claire P. Smith, Erica C. Carcelén +54 more

Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections

Epidemics(2024)10.1016/j.epidem.2024.100761

N/A

0DataRank · unranked

6 citations

Srinivasan Venkatramanan, Aniruddha Adiga, Brian Klahn, Benjamin Hurt, Mandy Wilson +5 more

Wastewater-based Epidemiology for COVID-19 Surveillance and Beyond: A Survey

PubMed(2024)10.48550/arxiv.2403.15291

N/A

0DataRank · unranked

4 citations

Wang, Yunfan, Gursharn Kaur, Aniruddha Adiga, Baltazar Espinoza, Srinivasan Venkatramanan +8 more

Challenges of COVID-19 Case Forecasting in the US, 2020–2021

UNC Libraries(2024)10.17615/k6z3-1y39

N/A

0DataRank · unranked

0 citations

Xing Xie, Weitong Zhang, Alison L. Hill, Brad Suchoski, Quanquan Gu +95 more

Mathematical Models for COVID-19 Pandemic: A Comparative Analysis

Journal of the Indian Institute of Science(2020)10.1007/s41745-020-00200-6

N/A

0DataRank · unranked

214 citations

Devdatt Dubhashi, Bryan Lewis, Madhav Marathe, Srinivasan Venkatramanan, Anil Vullikanti +1 more

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

UNC Libraries(2024)10.17615/3sv3-sj27

N/A

0DataRank · unranked

0 citations

Shaun Truelove, Wenxuan Ye, Alexander E. Webber, Avranil Basu, M. Ben-Nun +95 more

Aniruddha Adiga

Indexed papers

Top data-sharing exemplar

Papers